• Reproductive and Developmental Biology
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• 제35권1호
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• pp.17-22
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• 2011

This study was designed to determine the effect of electric field strength, duration and fusion buffer in fusion parameters on the rate of membrane fusion between the somatic cell and cytoplast for Korean cattle (HanWoo) somatic cell nuclear transfer (SCNT) procedure. Following electrofusion, effect of 5 or $10\;{\mu}M$ $Ca^{2+}$-ionophore of activation treatment on subsequent development was also evaluated. Cell fusion rates were significantly increased from 23.1% at 20 V/mm to 59.7% at 26 V/mm and 52.9% at 27 V/mm (p<0.05). Due to higher cytoplasmic membrane rupture or cellular lysis, overall efficiency was decreased when the strength was increased to 30 V/mm (18.5%) and 40 V/mm (6.3%) and the fusion rate was also decreased when the strength was at 25 V/mm or below. The optimal duration of electric stimulation was significantly higher in $25\;{\mu}s$ than 20 and $30\;{\mu}s$ (18.5% versus 9.3% and 6.3%, respectively, p<0.05). Two nonelectrolyte fusion buffers, Zimmermann's (0.28 M sucrose) and 0.28 M mannitol solution for cell fusion, were used for donor cell and ooplast fusion and the fusion rate was significantly higher in Zimmermann's cell fusion buffer than in 0.28 M mannitol (91.1% versus 48.4%, respectively, p<0.05). The cleavage and blastocyst formation rates of SCNT bovine embryos activated by $5\;{\mu}M$ $Ca^{2+}$-ionophore was significantly higher than the rates of the embryos activated with $10\;{\mu}M$ of $Ca^{2+}$-ionophore (70.0% versus 42.9% and 22.5% versus 14.3%, respectively; p<0.05). This result is the reverse to that of parthenotes which shows significantly higher cleavage and blastocyst rates in $10\;{\mu}M$ $Ca^{2+}$-ionophore than $5\;{\mu}M$ counterpart (65.6% versus 40.3% and 19.5% versus 9.7%, respectively; p<0.05). In conclusion, SCNT couplet fusion by single pulse of 26 V/mm for $25\;{\mu}s$ in Zimmermann's fusion buffer followed by artificial activation with $5\;{\mu}M$ $Ca^{2+}$-ionophore are suggested as optimal fusion and activation methods in Korean cattle SCNT protocol.

• 한국응용곤충학회지
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• 제36권4호
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• pp.341-350
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• 1997

Autographa californica 핵다각체병 바이러스(AcNPV)의 다각체 단백질과 Bacillus thuringiensis(Bt) cryIA(c) 내독소 단백질의 융합단백질을 생산하는 새로운 재조합 바이러스를 제작하고, 곤충세포주(Spodoptera frugiperda 9)에서 발현된 융합단백질의 특성을 분석하였다. Bt kurstaki HD-73의 cryIA(c) 내독소 단백질 유전자의 N-발단 AcNPV의 완전한 다각체 단백질 유전자의 앞쪽에 융합함에 의하여 또는 다닥체 단백질 유전자내의 제한효소 HindII부위에 삽입함에 의하여 다각체 단백질 유전자의 프로모터 조절하에 도입하였다. 이렇게 작성된 재조합 바이러스를 각각 Btrusl 또는 BtrusII라고 명명하였다. BtrusI은 분명히 단일 전사체를 보임에도 92kDa의 융합 단백질과 다각체 단백질의 두 단백질을 생산하였다. 또한 Btrusl에 의해 만들어진 융합 단백질은 다각체를 형성하지 않았다. 한편, BtrusII에 의해 감염된 곤충세포주에서는 33kDa의 다각체 단백질은 보이지 않았고 단지 융합 단백질만 생산하였으나 다각체는 형성하지 않았다. 따라서 Btrusl에 의해 생산된 융합 단백질의 독성을 조사하기 위하여, Btrusl으로 감염된 곤충세포주를 2령 누에(Bombyx mori)에 접종한 결과 융합 단백질에 의한 독성이 관찰되었다. 결론적으로 다각체 단백질과 Bt cryIA(c) 내독소 단백질에 의한 융합 단백질이 독성을 가지고 있음을 확인하였다.

• 한국멀티미디어학회논문지
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• 제19권10호
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• pp.1782-1791
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• 2016

Various color spaces such as RGB, HSV, log-chromaticity have been used in the field of person re-identification. However, not enough studies have been done to find suitable color space for the re-identification. This paper reviews color invariance of color spaces by diagonal model and explores the suitability of each color space in the application of person re-identification. It also proposes a method for person re-identification based on a histogram refinement technique and some fusion strategies of color spaces. Two public datasets (ALOI and ImageLab) were used for the suitability test on color space and the ImageLab dataset was used for evaluating the feasibility of the proposed method for person re-identification. Experimental results show that RGB and HSV are more suitable for the re-identification problem than other color spaces such as normalized RGB and log-chromaticity. The cumulative recognition rates up to the third rank under RGB and HSV were 79.3% and 83.6% respectively. Furthermore, the fusion strategy using max score showed performance improvement of 16% or more. These results show that the proposed method is more effective than some other methods that use single color space in person re-identification.

• 대한기계학회논문집A
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• 제22권2호
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• pp.343-351
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• 1998

This paper was investigated degradation of the fracture toughness caused by sensitizing heat-treatment of the cryogenic structural material JN1 base metal using unloading compliance method reported as useful a method in evaluating the elastic-plastic fracture toughness at cryogenic temperature. The specimens used in this paper were 20% side-grooved 0.5T-CT specimens which were machined in the JN1 base metal. Also, to investigate cryogenic fracture toughness of the fusion line region in the JN1 GTA weldments, it was also used 20% side-grooved 0.5T-CT specimens that was machined fusion line to located in the middle of the specimen. The cryogenic fracture toughness values of the JN1 base metal were significantly decreased with increasing the time and temperature of the heat treatment. The fracture toughness value obtained from the fusion line specimen was invalid, but it was lower value than that of the JN1 base metal. Especially, this value was approximately equal with that obtained from the JN1 650.deg. C-5h heat-treated material.

• 한국콘텐츠학회논문지
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• 제7권12호
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• pp.311-321
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• 2007

본 논문은 영상에 포함된 얼굴을 보다 빠르고 강건하게 검출하기 위해서 이질적 템플릿 매칭의 결과들을 융합하여 얼굴을 검출하는 방법을 제안한다. 먼저 광범위한 조명 환경과 인종을 포괄하는 피부색 모델을 이용해 피부 영역을 검출한다. 그리고 영역 라벨링과 필터링으로 매칭에 필요한 검색 범위를 줄인 후, 피부색과 에지를 이용한 템플릿 매칭을 검출된 영역에 적용한다. 이들 매칭 결과가 융합되어 두 매칭 결과를 동시에 최적으로 만족하는 얼굴이 검출된다. 실험 결과는 제안된 방법이 단일 템플릿을 적용할 때보다 얼굴색과 유사한 배경에서 얼굴을 강건하게 검출하며, 얼굴 후보 영역으로 검색 범위를 줄여 검출 시간을 줄였음을 보여준다. 또한 전역 누산기를 사용하여 템플릿 매칭의 과도한 공간 요구의 문제점을 해결할 수 있었다.

• 전기학회논문지
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• 제63권11호
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• pp.1551-1558
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• 2014

We propose a multi-rate sensor fusion of vision and radar using Kalman filter to solve problems of asynchronized and multi-rate sampling periods in object vehicle tracking. A model based prediction of object vehicles is performed with a decentralized multi-rate Kalman filter for each sensor (vision and radar sensors.) To obtain the improvement in the performance of position prediction, different weighting is applied to each sensor's predicted object position from the multi-rate Kalman filter. The proposed method can provide estimated position of the object vehicles at every sampling time of ECU. The Mahalanobis distance is used to make correspondence among the measured and predicted objects. Through the experimental results, we validate that the post-processed fusion data give us improved tracking performance. The proposed method obtained two times improvement in the object tracking performance compared to single sensor method (camera or radar sensor) in the view point of roots mean square error.

• 대한원격탐사학회지
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• 제28권6호
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• pp.611-622
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• 2012

This study proposed two multisensor fusion methods for segment-based image classification utilizing a region-growing segmentation. The proposed algorithms employ a Gaussian-PDF measure and an evidential measure respectively. In remote sensing application, segment-based approaches are used to extract more explicit information on spatial structure compared to pixel-based methods. Data from a single sensor may be insufficient to provide accurate description of a ground scene in image classification. Due to the redundant and complementary nature of multisensor data, a combination of information from multiple sensors can make reduce classification error rate. The Gaussian-PDF method defines a regional measure as the PDF average of pixels belonging to the region, and assigns a region into a class associated with the maximum of regional measure. The evidential fusion method uses two measures of plausibility and belief, which are derived from a mass function of the Beta distribution for the basic probability assignment of every hypothesis about region classes. The proposed methods were applied to the SPOT XS and ENVISAT data, which were acquired over Iksan area of of Korean peninsula. The experiment results showed that the segment-based method of evidential measure is greatly effective on improving the classification via multisensor fusion.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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• pp.202.2-202.2
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• 2013

Ti2O3 is known as a typical Mott insulator with a transition temperature of near $200^{\circ}C$. Unlike VO2, Ti2O3 does not have a structural phase transition near the metal-insulator-transition (MIT) temperature. We investigated the temperature-dependent thermal vibration change using temperature-dependent x-ray absorption fine structure (XAFS) at Ti K-edge in the temperature range of 300~600 K. Ti2O3 powder and films were synthesized using thermal chemical vapor deposition (CVD) at $800{\sim}900^{\circ}C$. X-ray diffraction measurements show a single phased Ti2O3 at room temperature. XAFS confirmed no structural phase transition in the temperature of 300~600 K. A small but distinguishable structural disorder change was observed near the transition temperature. We will discuss the MIT behavior with the change of structural disorder.

• 한국기계가공학회지
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• 제12권4호
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• pp.75-80
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• 2013

Single crystal sapphire being used in high technology industry is a brittle material with a high hardness and excellent physical properties. ELID(Electrolytic In-Process Dressing) grinding technology was applied to material removal machining process of single crystal sapphire wafer. Ultrasonic vibration which added to material using ultrasonic table was adopted to efficient ELID grinding of sapphire materials. The evaluation of the ground surface of single crystal sapphire wafer was carried out by means of surface measuring by using AFM(Atomic Force Microscope), surface roughness tester and optical microscope device. As the results of experiment, it was shown that more efficient grinding was conducted when using ultrasonic table. In case of using #170 grinding wheel, surface roughness of ELID ground specimen in using ultrasonic table was superior to ELID ground specimen without ultrasonic table. However, In case of using #2000 grinding wheel, surface roughness of ELID ground specimen in using ultrasonic table was inferior to ELID ground specimen without ultrasonic table.

• 한국컴퓨터정보학회논문지
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• 제27권6호
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• pp.23-31
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• 2022

최근 코로나 19가 유행하고 더불어 고령화 시대와 1인 가구 증가로 인해 가구 구성원이 집에서 다양한 활동을 하며 머무는 시간이 매우 증가하였다. 본 연구에서는 노인을 포함한 1인 가구의 구성원들의 이상 징후를 탐지하기 위한 알고리즘을 제안한다. 홈 CCTV를 통한 영상 센서 알고리즘, 스마트폰에 내장된 가속도 센서를 이용한 활동 센서 알고리즘 및 2D LiDAR 센서 기반의 LiDAR 센서 알고리즘을 이용한 사람의 움직임 및 낙상 탐지 결과를 기반으로 이상 징후를 탐지하는 알고리즘들을 제안한다. 하지만, 각 단일 센서 기반 알고리즘은 센서가 가진 한계점으로 인해 특정 상황에서 이상징후를 탐지하기 어려운 단점을 가지고 있다. 그에 따라 단일 센서 기반 알고리즘만을 사용한 것보다 다양한 상황에서 이상 징후를 탐지하기 위해 각 알고리즘을 결합하는 융합 방식을 제안한다. 우리는 각 센서로 수집한 데이터를 통해 알고리즘들의 성능을 평가하고, 특정 시나리오들을 통하여 알고리즘 하나만 사용하여 정확한 이상 징후를 탐지할 수 없는 상황에서도 융합 방식을 통해 서로 보완하여 정확한 이상 징후를 효율적으로 탐지할 수 있음을 보여준다.